Wednesday 1 October 2014

Diffusion Theory and how it works in Information, Education and Communication(IECs)



Diffusion theory, which comes from the communications discipline is a theoretical approach concerned with how innovations, or ideas perceived as new, are communicated through channels over time among the members of a social system.
E.M. Rogers in 1962 developed the Diffusion of Innovation (DOI) Theory, which is one of the oldest social science theories. It originated in communication to explain how, over time, an idea or product gains momentum and diffuses (or spreads) through a specific population or social system. The end result of this diffusion is that people, as part of a social system, adopt a new idea, behavior, or product.
This theory has been used successfully in many fields including communication, agriculture, public health, criminal justice, social work, and marketing. For example, in public health, Diffusion of Innovation Theory is used to accelerate the adoption of important public health programs that typically aim to change the behavior of a social system. That is to say, an intervention to address a public health problem is developed, and the intervention is promoted to people in a social system with the goal of adoption.
Information, Education and Communication(IEC) can be defined as an approach which attempts to change or reinforce a set of behaviours in a “target audience” regarding a specific problem in a predefined period of time.
Diffusion theory works in IECs by using media or interpersonal contacts to provide information and influence opinion and judgment. For example, a new family planning method is diffused - or spread - to an audience using various communication channels. Studying how innovation occurs in IECs, E.M. Rogers (1995) argued that it consists of four stages: invention, diffusion (or communication) through the social system, time and consequences. The information flows through networks. The nature of networks and the roles opinion leaders play in them determine the likelihood that the innovation will be adopted.